Response to the COVID-19 pandemic

As part of an MRC funded project "Mathematical modelling and adaptive control to inform real time decision making for the COVID-19 pandemic at the local, regional and national scale", our team at the Zeeman Institute:SBIDER (Systems Biology & Infectious Disease Epidemiology Research) at the University of Warwick used real time data on the UK SARS-CoV-2 outbreak to provide robust predictions, gauging the ability of a model to predict future epidemic behaviour.

The team includes Matt Keeling, Michael Tildesley, Louise Dyson, Ben Atkins and several colleagues in SBIDER. For further details on the research undertaken by members of the Zeeman Institute:SBIDER, contributing to the COVID-19 modelling response both in the UK and abroad, visit the SBIDER COVID-19 modelling response webpage.

I was also a participant of the Scientific Pandemic Influenza Group on Modelling, Operational subgroup (SPI-M-O) of the Scientific Advisory Group for Emergencies (SAGE), providing advice (based on infectious disease modelling and epidemiology) on scientific matters related to the UK’s response to the COVID-19 pandemic.

Listed below are associated peer-reviewed publications and preprints, split into twelve broad themes (in alphabetical order): Contact tracing mobile apps, fitting to the UK outbreak, higher education, households, immune escape, impact on other pathogens, impact on the infectious disease modelling community, precautionary breaks (circuit breakers), schools, vaccination, Variants of Concern (VOCs), workplaces.

Contact tracing mobile apps

Fitting to the UK outbreak

Higher education


Immune escape

Impact on other pathogens

Impact on the infectious disease modelling community

Precautionary breaks (circuit breakers)



Variants of Concern (VOCs)